Papers
Fri 1 May 2026
371 papers
- Just Keep Prompting: Evaluating Repetitive Socratic Prompting in VLMsLLM reasoning → Multimodal reasoning +1
- Breaking Safety at the Token Boundary: How BPE Tokenization Creates Exploitable Gaps in LLM AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- KARA: Efficient Reasoning LLM Serving via Sliding-Window KV Cache CompressionLLM reasoning → Test-time compute and efficient thinking +1
- Safeguarding LLM Agents from Misalignment through Provenance AnalysisLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Compaction: Structured Context Eviction for Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- Multimodal Large Language Models as Synthetic Participants in Video-Based Studies: An EvaluationMultimodal LLMs / vision-language models → Multimodal emotion understanding
- TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
- AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer DevicesLLM agents and tool use → Software engineering coding agents
- AgenticAITA: A Proof-Of-Concept About Deliberative Multi-Agent Reasoning for Autonomous Trading SystemsLLM reasoning → Reasoning for agents, planning and code +1
- DARE: Diffusion Language Model Activation Reuse for Efficient InferenceDiffusion models → Discrete and text diffusion
- VLADriver-RAG: Retrieval-Augmented Vision-Language-Action Models for Autonomous DrivingVision-language-action models → VLA for autonomous driving +2
- Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level OptimizationOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Topology-Driven Anti-Entanglement Control for Soft RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RouteHijack: Routing-Aware Attack on Mixture-of-Experts LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Healthcare AI GYM for Medical AgentsKnowledge distillation → On-policy and self-distillation for LLMs
- PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent FrameworkLLM safety and security → Safety alignment, refusal and guardrails
- Proteo-R1: Reasoning Foundation Models for De Novo Protein DesignLLM reasoning → Clinical and biomedical applications
- Minimizing Collateral Damage in Activation SteeringMechanistic interpretability → Activation steering methods
- Position: Safety and Fairness in Agentic AI Depend on Interaction Topology, Not on Model Scale or AlignmentLLM agents and tool use → Agent threats, guardrails and governance
- A Low-Latency Fraud Detection Layer for Detecting Adversarial Interaction Patterns in LLM-Powered AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- ScribbleEdit: Synthetic Data for Image Editing with Scribbles and TextSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Forager: a lightweight testbed for continual learning with partial observability in RLDeep reinforcement learning methods → Deep RL algorithms and representations
- Iterative Finetuning is Mostly IdempotentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten SetLLM safety and security → Machine unlearning
- PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Disciplined Diffusion: Text-to-Image Diffusion Model against NSFW GenerationDiffusion models → Robustness, privacy and adversarial aspects
- Component-Aware Self-Speculative Decoding in Hybrid Language ModelsEfficient LLM inference and serving → Speculative decoding
- Towards Multi-Agent Autonomous Reasoning in HydrodynamicsLLM reasoning → Reasoning for agents, planning and code +1
- Virtual Speech Therapist: A Clinician-in-the-Loop AI Speech Therapy Agent for Personalized and Supervised TherapyLLM agents and tool use → Medical and scientific domain agents
- Learning to Race in Minutes: Infoprop Dyna on the Mini WheelbotDeep reinforcement learning methods → RL for autonomous driving and traffic
- A Sentence Relation-Based Approach to Sanitizing Malicious InstructionsRetrieval-augmented generation → Privacy and security of RAG +1
- PRISM: Exposing and Resolving Spurious Isolation in Federated Multimodal Continual LearningMixture-of-experts → Mixture of LoRA experts
- LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer InferenceEfficient LLM inference and serving → Early exit and edge inference
- LLM Ghostbusters: Surgical Package Hallucination Suppression via Adaptive UnlearningLLM safety and security → Backdoor and data poisoning attacks
- A Theoretical Game of Attacks via Compositional SkillsLLM safety and security → Prompt injection and agent security
- SRTJ: Self-Evolving Rule-Driven Training-Free LLM JailbreakingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical AudioLLM reasoning → Clinical and biomedical applications
- "I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG SystemsRetrieval-augmented generation → Privacy and security of RAG +1
- ARIS: Agentic and Relationship Intelligence System for Social RobotsWorld models → World models for language agents +1
- PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case GenerationLLM agents and tool use → Software engineering coding agents
- Uncertainty in a Single Pass: A Closed-Form Identity for One-Step Flow MatchingDiffusion models → Flow matching, time series and science
- Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix GenerationDiffusion models → Diffusion and flow policies for robotics
- Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep EmbeddingDiffusion models → Diffusion foundations and sampling
- Code World Model Preparedness ReportWorld models → World models for language agents
- Posterior Augmented Flow MatchingDiffusion models → Flow matching, time series and science
- Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Let ViT Speak: Generative Language-Image Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Can Coding Agents Reproduce Findings in Computational Materials Science?LLM agents and tool use → Medical and scientific domain agents
- GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale TransformerMixture-of-experts → Vision mixture-of-experts
- When RAG Chatbots Expose Their Backend: An Anonymized Case Study of Privacy and Security Risks in Patient-Facing Medical AIRetrieval-augmented generation → Privacy and security of RAG
- Make Your LVLM KV Cache More LightweightMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth DriftDiffusion models → Image generation, text-to-image and editing
- SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous ControlDeep reinforcement learning methods → RL theory and sample complexity
- Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria ScoringLLM reasoning → Reasoning for agents, planning and code +1
- Position: agentic AI orchestration should be Bayes-consistentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT SystemsLLM agents and tool use → Agent threats, guardrails and governance
- To Call or Not to Call: A Framework to Assess and Optimize LLM Tool CallingLLM agents and tool use → Tool learning and function calling
- EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor ClosureLLM safety and security → Machine unlearning
- PhysEdit: Physically-Consistent Region-Aware Image Editing via Adaptive Spatio-Temporal ReasoningLLM reasoning → Multimodal reasoning
- FinSafetyBench: Evaluating LLM Safety in Real-World Financial ScenariosLLM safety and security → Safety alignment, refusal and guardrails
- STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity AttackLLM safety and security → Vision-language and text-to-image safety
- BabelSafe: A Policy-Grounded Multilingual Safety Benchmark for LLMsLLM safety and security → Safety alignment, refusal and guardrails
- Eliminating Hidden Serialization in Multi-Node Megakernel CommunicationMixture-of-experts → Efficient MoE training and inference systems
- Evaluating the Architectural Reasoning Capabilities of LLM Provers via the Obfuscated Natural Number GameLLM reasoning → Mathematical reasoning
- Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- InpaintSLat: Inpainting Structured 3D Latents via Initial Noise OptimizationDiffusion models → 3D, point cloud and scene generation
- UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion PriorsDiffusion models → Video generation
- Reinforcement Learning with Markov Risk Measures and Multipattern Risk ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Learn where to Click from Yourself: On-Policy Self-Distillation for GUI GroundingLLM agents and tool use → GUI and mobile agents +1
- Unlearning Offline Stochastic Multi-Armed BanditsLLM safety and security → Machine unlearning
- BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code SynthesisRetrieval-augmented generation → RAG for code
- H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG ConversationsRetrieval-augmented generation → Conversational and speech RAG
- Recovering Hidden Reward in Diffusion-Based PoliciesOffline RL and imitation learning from data → Inverse reinforcement learning +1
- LLM-Emu: Native Runtime Emulation of LLM Inference via Profile-Driven SamplingEfficient LLM inference and serving → Serving systems and request scheduling
- Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Jailbreaking Vision-Language Models Through the Visual ModalityMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory BalanceLLM safety and security → Prompt injection and agent security
- A11y-Compressor: A Framework for Enhancing the Efficiency of GUI Agent Observations through Visual Context Reconstruction and Redundancy ReductionLLM agents and tool use → GUI and mobile agents
- Colorful-Noise: Training-Free Low-Frequency Noise Manipulation for Color-Based Conditional Image GenerationDiffusion models → Image generation, text-to-image and editing
- Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU ClustersLLM agents and tool use → Software engineering coding agents
- SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space NetworksMixture-of-experts → Efficient MoE training and inference systems
- Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex SystemsDiffusion models → Flow matching, time series and science
- LLM-Oriented Information Retrieval: A Denoising-First PerspectiveRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- Leveraging Vision-Language Models as Weak Annotators in Active LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision ModelsMechanistic interpretability → Interpreting vision and multimodal models
- CleanBase: Detecting Malicious Documents in RAG Knowledge DatabasesRetrieval-augmented generation → Privacy and security of RAG +1
- Soft Graph Diffusion Transformer for MIMO DetectionDiffusion models → Diffusion for compression and wireless
- Scaling Video Understanding via Compact Latent Multi-Agent CollaborationMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Thinking in Text and Images: Interleaved Vision--Language Reasoning Traces for Long-Horizon Robot ManipulationLLM reasoning → Spatial and embodied reasoning
- LIMSSR: LLM-Driven Sequence-to-Score Reasoning under Training-Time Incomplete Multimodal ObservationsLLM reasoning → Multimodal reasoning
- AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Skills as Verifiable Artifacts: A Trust Schema and a Biconditional Correctness Criterion for Human-in-the-Loop Agent RuntimesLLM agents and tool use → Agent threats, guardrails and governance
- GD4: Graph-based Discrete Denoising Diffusion for MIMO DetectionDiffusion models → Diffusion for compression and wireless
- Rethinking LLM Ensembling from the Perspective of Mixture ModelsLLM reasoning → Test-time compute and efficient thinking
- Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot PoliciesVision-language-action models → Reinforcement learning and post-training +1
All 371
- Trees to Flows and Back: Unifying Decision Trees and Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Physically Native World Models: A Hamiltonian Perspective on Generative World ModelingWorld models → Latent predictive world models +1
- Agent Capsules: Quality-Gated Granularity Control for Multi-Agent LLM PipelinesLLM agents and tool use → Software engineering coding agents
- Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline EstimationDeep reinforcement learning methods → RL theory and sample complexity
- RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR InferenceEfficient LLM inference and serving → Visual token pruning in multimodal models
- PrefMoE: Robust Preference Modeling with Mixture-of-Experts Reward LearningDeep reinforcement learning methods → RL training of language and agent models
- Agentic AI for Substance Use Education: Integrating Regulatory and Scientific Knowledge SourcesLLM agents and tool use → Educational agents and math problem solving
- ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Unlearning What Matters: Token-Level Attribution for Precise Language Model UnlearningLLM safety and security → Machine unlearning
- Binomial flows: Denoising and flow matching for discrete ordinal dataDiffusion models → Diffusion foundations and sampling
- MemRouter: Memory-as-Embedding Routing for Long-Term Conversational AgentsLLM agents and tool use → Agent memory systems
- Block-wise Codeword Embedding for Reliable Multi-bit Text WatermarkingLLM safety and security → Watermarking generated content and models
- Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Making Every Verified Token Count: Adaptive Verification for MoE Speculative DecodingMixture-of-experts → Efficient MoE training and inference systems +1
- FES-FM: Free Energy Surface Sampling via Reduced Flow MatchingDiffusion models → Flow matching, time series and science
- AgentFloor: How Far Up the tool use Ladder Can Small Open-Weight Models Go?LLM agents and tool use → General LLM agent frameworks and benchmarks
- DynamicPO: Dynamic Preference Optimization for RecommendationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Prompt-Induced Score Variance in Zero-Shot Binary Vision-Language Safety ClassificationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Online Self-Calibration Against Hallucination in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization
- Structure-Aware Chunking for Tabular Data in Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Semia: Auditing Agent Skills via Constraint-Guided Representation SynthesisLLM agents and tool use → Agent threats, guardrails and governance
- Control panels to clarify user intent with Large Language Models
- Generative Ontology Induction: Domain-Agnostic Schema Discovery from Document Corpora Using Large Language Models
- From ML Predictions to Informed Diagnostic Assistance Using the Toulmin Model of Argumentation
- SPARCLE: SPeaker-aware Aligned Representations via Contrastive Language Embeddings
- Persona Without Substrate: Regime-Dependence and the LLM Individuation Problem
- Reducing Conversational Escalation in Large Language Model Dialogue with Nonviolent Communication Constraints
- Context Recycling for Long-Horizon LLM Inference
- LLM-assisted gNB Parameter Configuration for Radio Access Network
- Sketch-to-Layout: A Human-Centric Computational Agent for Constraint-Aware Synthesis of Modular Photobioreactors
- Concerns and Strategic Responses of Older Workers Navigating Generative AI in Bridge Employment
- DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
- Comprehensive AI governance requires addressing non-model gains
- Spacetime Formation under Requirements: Contextual Realization and Form-Dependent Probability
- Benchmarking ResNet Backbones in RT-DETR: Impact of Depth and Regularization under environmental conditions
- Dendritic Neural Networks with Equilibrium Propagation
- Additive Atomic Forests for Symbolic Function and Antiderivative Discovery
- Towards Customized Multimodal Role-Play
- Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models
- Are Multimodal LLMs Ready for Clinical Dermatology? A Real-World Evaluation in Dermatology
- Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces
- Disease Is a Spectral Perturbation
- AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation
- Predicting Euler Characteristics and Constructing Topological Structure Using Machine Learning Techniques
- Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation
- Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound
- From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework
- PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting
- A Universal Space of Brain Dynamics for Unveiling Cognitive Transitions and Individual Differences
- Quantifying and Predicting Disagreement in Graded Human Ratings
- CEZSAR: A Contrastive Embedding Method for Zero-Shot Action Recognition
- LLMs Should Not Yet Be Credited with Decision Explanation
- Multimodal Data Curation Through Ranked Retrieval
- The Productivity-Reliability Paradox: Specification-Driven Governance for AI-Augmented Software Development
- Multi-Perspective Transformers in ARC-AGI-2 Challenge
- Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts
- Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation
- Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption
- Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
- To Use AI as Dice of Possibilities with Timing Computation
- Extreme Weather Bench: A framework and benchmark for evaluation of high-impact weather
- Machine Learning-Augmented Acceleration of Iterative Ptychographic Reconstruction
- New Bounds for Zarankiewicz Numbers via Reinforced LLM Evolutionary Search
- When Less is Enough: Efficient Inference via Collaborative Reasoning
- Topological Neural Tangent Kernel
- Diffusion Operator Geometry of Feedforward Representations
- RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions
- A Knowledge-Driven LLM-Based Decision-Support System for Explainable Defect Analysis and Mitigation Guidance in Laser Powder Bed Fusion
- Almost for Free: Crafting Adversarial Examples with Convolutional Image Filters
- Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
- Governing What the EU AI Act Excludes: Accountability for Autonomous AI Agents in Smart City Critical Infrastructure
- Learning Discriminators for Resampling in the Ensemble Gaussian Mixture Filter through a Normalizing Flow Approach
- Towards patient-specific optimization for mandibular reconstruction planning based on predicted bone-union propensity
- Networked Information Aggregation for Binary Classification
- WILD SAM: A Simulated-and-Real Data Augmentation for Autonomous Driving Perception under Challenging Weather
- Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines
- Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT
- Benchmarking local Hebbian learning rules for memory storage and prototype extraction
- Controlled Paraphrase Geometry in Sentence Embedding Space: Local Manifold Modeling and Latent Probing
- Reconstructing conformal field theoretical compositions with Transformers
- Deep Variational Inference Symbolic Regression
- A dimensional R2 regression metric
- A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
- GEODE: Angle-Adaptive OOD Detection with Universal Scorer Compatibility
- SURGE: SuperBatch Unified Resource-efficient GPU Encoding for Heterogeneous Partitioned Data
- Value Functions for Temporal Logic: Optimal Policies and Safety Filters
- Compared to What? Baselines and Metrics for Counterfactual Prompting
- Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning
- Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning
- Differentiable Multiphysics Co-Optimization via Implicit Neural Representations: A Transient Hamburger-Cooking Benchmark
- Finite-Sample Analysis of Elimination in Active Hypothesis Testing
- Certified Purity for Cognitive Workflow Executors: From Static Analysis to Cryptographic Attestation
- InterPhys: Physics-aware Human Motion Synthesis in a Dynamic Scene
- Algebraic Semantics of Governed Execution: Monoidal Categories, Effect Algebras, and Coterminous Boundaries
- Effect-Transparent Governance for AI Workflow Architectures: Semantic Preservation, Expressive Minimality, and Decidability Boundaries
- EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness
- Continual Learning of Feedback-based Molecular Communication
- WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild
- Psychologically Potent, Computationally Invisible: LLMs Generate Social-Comparison-Eliciting Posts They Fail to Detect
- CLEAR: Revealing How Noise and Ambiguity Degrade Reliability in LLMs for Medicine
- Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness
- Pi-Change: A Prior-Informed Multiple Change Point Detection Algorithm
- Most Current Model Organisms Are Leaky: Perplexity Differencing Often Reveals Finetuning Objectives
- Democratizing the medieval English legal tradition
- Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
- Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration
- Reconstruction Interval Z-Phase Dependence of AI Detection Sensitivity in CT Lung Nodule Screening
- Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models
- Robust volatility updates for Hierarchical Gaussian Filtering
- Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?
- Ablation Study of Multimodal Perception, Language Grounding, and Control for Human-Robot Interaction in an Object Detection and Grasping Task
- Energy-Based Constraint Networks: Learning Structural Coherence Across Modalities
- Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
- Equation-Free Digital Twins for Nonlinear Structural Dynamics
- Co-Generative De Novo Functional Protein Design
- SCARV: Structure-Constrained Aggregation for Stable Sample Ranking in Redundant NLP Datasets
- Interpretable experiential learning based on state history and global feedback
- From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
- An ALE-Consistent Graph Neural Operator-Transformer Framework for Fluid-Structure Interaction
- EventADL: Open-Box Anomaly Detection and Localization Framework for Events in Cloud-Based Service Systems
- Structured Analytic Coherent Point Drift for Non-Rigid Point Set Registration
- CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining
- Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design
- HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
- When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models
- Generating Statistical Charts with Validation-Driven LLM Workflows
- RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
- Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks
- Recursive Maximum Likelihood Estimation for Interacting Particle Systems using Virtual Particles
- GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair
- Map2World: Segment Map Conditioned Text to 3D World Generation
- Observable Performance Does Not Fully Reflect Adaptive System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
- LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation
- Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media
- Characterizing the Expressivity of Local Attention in Transformers
- Modeling Subjective Urban Perception with Human Gaze
- Meritocratic Fairness via K-Shapley Values in Budgeted Combinatorial Bandits with Full-Bandit Feedback
- Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries
- NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search
- Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks
- Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
- Randomized Subspace Nesterov Accelerated Gradient
- Temporal Data Requirement for Predicting Unplanned Hospital Readmissions
- Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment
- Weisfeiler Lehman Test on Combinatorial Complexes: Generalized Expressive Power of Topological Neural Networks
- Decentralized Proximal Stochastic Gradient Langevin Dynamics
- Exploring the Limits of End-to-End Feature-Affinity Propagation for Single-Point Supervised Infrared Small Target Detection
- Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation
- Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy
- Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels
- Aitchison Embeddings for Learning Compositional Graph Representations
- Deep Kernel Learning for Stratifying Glaucoma Trajectories
- Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
- FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
- Adaptive Querying with AI Persona Priors
- Static and Dynamic Graph Alignment Network for Temporal Video Grounding
- Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data
- DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets
- Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs
- Prediction of Alzheimer's Disease Risk Factors from Retinal Images via Deep Learning: Development and Validation of Biologically Relevant Morphological Associations in the UK Biobank
- Affordance Agent Harness: Verification-Gated Skill Orchestration
- Spiking Sequence Machines and Transformers
- AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
- Model Compression with Exact Budget Constraints via Riemannian Manifolds
- Label-Conditioned Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Curriculum-Gated Contrastive Alignment
- From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting
- Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
- Bridging Graph Drawing and Dimensionality Reduction with Stochastic Stress Optimization
- Knowing when to trust machine-learned interatomic potentials
- Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials
- Class Angular Distortion Index for Dimensionality Reduction
- Paired-CSLiDAR: Height-Stratified Registration for Cross-Source Aerial-Ground LiDAR Pose Refinement
- CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection
- EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement
- SC-Taxo: Hierarchical Taxonomy Generation under Semantic Consistency Constraints using Large Language Models
- Is Textual Similarity Invariant under Machine Translation? Evidence Based on the Political Manifesto Corpus
- Decouple before Integration: Test-time Synthesis of SFT and RLVR Task Vectors
- Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe
- Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors
- Possibilistic Predictive Uncertainty for Deep Learning
- Robust Fusion of Object-Level V2X for Learned 3D Object Detection
- Fairness of Classifiers in the Presence of Constraints between Features
- AI Washing Inflates Expected Performance but Not Interaction Outcomes: An AI Placebo Study Using Fitts' Law
- Gradient Regularized Newton Boosting Trees with Global Convergence
- Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration
- Instance-Aware Parameter Configuration in Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem
- 2D-SuGaR: Surface-Aware Gaussian Splatting for Geometrically Accurate Mesh Reconstruction
- Depth-Guided Privacy-Preserving Visual Localization Using 3D Sphere Clouds
- Structure Liberates: How Constrained Sensemaking Produces More Novel Research Output
- Linking Behaviour and Perception to Evaluate Meaningful Human Control over Partially Automated Driving
- Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
- AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs
- Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images
- Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge
- Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy
- IdentiFace: Multi-Modal Iterative Diffusion Framework for Identifiable Suspect Face Generation in Crime Investigations
- Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference
- PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation
- ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
- A Comparative Study of QSPR Methods on a Unique Multitask PAMPA dataset
- Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue
- End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
- LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction
- Scaling Federated Linear Contextual Bandits via Sketching
- GOR-IS: 3D Gaussian Object Removal in the Intrinsic Space
- "What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use
- High-Speed Vision Improves Zero-Shot Semantic Understanding of Human Actions
- MMAudio-LABEL: Audio Event Labeling via Audio Generation for Silent Video
- Distance metric learning for conditional anomaly detection
- Revealing graph bandits for maximizing local influence
- Trading off rewards and errors in multi-armed bandits
- Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
- MSACT: Multistage Spatial Alignment for Stable Low-Latency Fine Manipulation
- Near-optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
- ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding, but at What Cost?
- Batch Normalization for Neural Networks on Complex Domains
- PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
- Adaptation of AI-accelerated CFD Simulations to the IPU platform
- Combined Dictionary Unfolding Network with Gradient-Adaptive Fidelity for Transferable Multi-Source Fusion
- Federated Learning with Hypergradient-based Online Update of Aggregation Weights
- Fairness-Guided DQN-Based TXOP Control for NR-U/Wi-Fi Coexistence
- Concentration and Calibration in Predictive Bayesian Inference
- Learning from Compressed CT: Feature Attention Style Transfer and Structured Factorized Projections for Resource-Efficient Medical Image Analysis
- The Power of Order: Fooling LLMs with Adversarial Table Permutations
- Adaptive Equilibrium: Dynamic Weighting Framework for Generalized Interruption of DeepFake Models
- Role-Aware Artificial Intelligence Across Augmentation and Automation in Human-Machine Symbiosis
- Impact of Task Phrasing on Presumptions in Large Language Models
- Escaping Mode Collapse in LLM Generation via Geometric Regulation
- Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
- Optimal Spatio-Temporal Decoupling for Bayesian Conformal Prediction
- MMAudioReverbs: Video-Guided Acoustic Modeling for Dereverberation and Room Impulse Response Estimation
- BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs
- RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI
- Foresight Arena: An On-Chain Benchmark for Evaluating AI Forecasting Agents
- Beyond Heuristics: Learnable Density Control for 3D Gaussian Splatting
- BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception
- Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
- SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding
- FollowTable: A Benchmark for Instruction-Following Table Retrieval
- M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data
- Mesh Field Theory: Port-Hamiltonian Formulation of Mesh-Based Physics
- Towards Robust and Scalable Density-based Clustering via Graph Propagation
- PILIR: Physics-Informed Local Implicit Representation
- Social Bias in LLM-Generated Code: Benchmark and Mitigation
- Advancing Edge Classification through High-Dimensional Causal Modeling of Node-Edge Interplay
- Language-free Experience at Expo 2025 Osaka
- GaMMA: Towards Joint Global-Temporal Music Understanding in Large Multimodal Models
- Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration
- InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees
- Flow matching for Sentinel-2 super-resolution: implementation, application, and implications
- Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
- Uniform-Correct Policy Optimization: Breaking RLVR's Indifference to Diversity
- Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking
- Pedagogical Promise and Peril of AI: A Text Mining Analysis of ChatGPT Research Discussions in Programming Education
- From Backward Spreading to Forward Replay: Revisiting Target Construction in LLM Parameter Editing
- VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation
- Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
- CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
- Pose-Aware Diffusion for 3D Generation
- AI Adoption Among Teachers: Insights on Concerns, Support, Confidence, and Attitudes
- Budget-Aware Routing for Long Clinical Text
- Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B
- Conformalized Quantum DeepONet Ensembles: Towards Scalable Operator Learning with Distribution-Free Guarantees
- Intelligent Elastic Feature Fading: Enabling Model Retrain-Free Feature Efficiency Rollouts at Scale
- Federated Weather Modeling on Sensor Data
- Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping
- Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships
- Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration
- A Model-based Visual Contact Localization and Force Sensing System for Compliant Robotic Grippers
- Token Arena: A Continuous Benchmark Unifying Energy and Cognition in AI Inference